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Fuzzy neural networks: a survey

Authors:

James J. Buckley and

Yoichi HayashiAuthors Info & Claims

Fuzzy Sets and Systems, Volume 66, Issue 1

Pages 1 - 13

https://doi.org/10.1016/0165-0114(94)90297-6

Published: 25 August 1994 Publication History

Abstract

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Almohammed FThakur M(2024)Prediction of compressive strength of BFRC using soft computing techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-08331-528:2(1391-1408)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00500-023-08331-5
Hamzenejadi SGhazvini MHosseini S(2022)Mobile botnet detection: a comprehensive surveyInternational Journal of Information Security10.1007/s10207-022-00624-422:1(137-175)Online publication date: 15-Nov-2022
https://dl.acm.org/doi/10.1007/s10207-022-00624-4
Baaj IPoli JOuerdane WMaudet N(2021)Min-max inference for Possibilistic Rule-Based System2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ45933.2021.9494506(1-6)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1109/FUZZ45933.2021.9494506
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Index Terms

Fuzzy neural networks: a survey
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Mathematics of computing
  1. Probability and statistics

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Published In

Fuzzy Sets and Systems Volume 66, Issue 1

Aug. 25, 1994

111 pages

ISSN:0165-0114

Issue’s Table of Contents

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 25 August 1994

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Almohammed FThakur M(2024)Prediction of compressive strength of BFRC using soft computing techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-08331-528:2(1391-1408)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00500-023-08331-5
Hamzenejadi SGhazvini MHosseini S(2022)Mobile botnet detection: a comprehensive surveyInternational Journal of Information Security10.1007/s10207-022-00624-422:1(137-175)Online publication date: 15-Nov-2022
https://dl.acm.org/doi/10.1007/s10207-022-00624-4
Baaj IPoli JOuerdane WMaudet N(2021)Min-max inference for Possibilistic Rule-Based System2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ45933.2021.9494506(1-6)Online publication date: 11-Jul-2021
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Das RSen SMaulik U(2020)A Survey on Fuzzy Deep Neural NetworksACM Computing Surveys10.1145/336979853:3(1-25)Online publication date: 28-May-2020
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Shen TWang JGou CWang F(2020)Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer DiagnosisIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2020.301368128:12(3204-3218)Online publication date: 1-Dec-2020
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Kang CYu XWang SGuttery DPandey HTian YZhang Y(2020)A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images ScoringIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2020.296616329:1(34-45)Online publication date: 29-Dec-2020
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Dubois DPrade H(2020)From Possibilistic Rule-Based Systems to Machine Learning - A Discussion PaperScalable Uncertainty Management10.1007/978-3-030-58449-8_3(35-51)Online publication date: 23-Sep-2020
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Bablani AEdla DTripathi DCheruku R(2019)Survey on Brain-Computer InterfaceACM Computing Surveys10.1145/329771352:1(1-32)Online publication date: 13-Feb-2019
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Sussner PEsmi EFlorindo J(2019)A New Algorithm for Designing Θ-Fuzzy Associative Memories Based on Subsethood Measures2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2019.8858949(1-6)Online publication date: 23-Jun-2019
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Price SPrice SAnderson D(2019)Introducing Fuzzy Layers for Deep Learning2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2019.8858790(1-6)Online publication date: 23-Jun-2019
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Recommendations

A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems

Some approximation properties of adaptive fuzzy systems with variable universe of discourse

Numerical relationships between neural networks, continuous functions, and fuzzy systems

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